Cloud data efficient retrieval and big data management method and system

By constructing an event relationship graph and introducing priority identification and hierarchical storage mechanisms, the problem of low efficiency in complex queries in traditional cloud data management systems has been solved, enabling efficient identification and response to changes in urban operational status and meeting the rapid decision-making needs of smart cities.

CN122412467APending Publication Date: 2026-07-17SHENZHEN GLOBAL SPEED TECHNOLOGY CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN GLOBAL SPEED TECHNOLOGY CO LTD
Filing Date
2026-04-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional cloud data management systems are inefficient at handling complex relational queries, making it difficult to provide timely and accurate decision support for emergencies in smart cities.

Method used

By constructing an event relationship graph, identifying event primitives and extracting key attributes, a graph matching method is used to efficiently retrieve complex abnormal event chains. Priority identification and hierarchical storage mechanisms are introduced to dynamically monitor and migrate the priority of event primitives and associated edges.

Benefits of technology

It significantly improves the ability to identify and respond to changes in urban operational status, meeting the "second-level" or even "millisecond-level" response requirements, and providing timely and accurate decision support for smart city management.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122412467A_ABST
    Figure CN122412467A_ABST
Patent Text Reader

Abstract

The present application relates to the technical field of cloud data efficient retrieval and big data management, and particularly relates to a cloud data efficient retrieval and big data management method and system, the method comprising the following steps: obtaining original data generated by city operation monitoring equipment; identifying event primitives with specific meanings from the original data and extracting key attributes of the event primitives; organizing the event primitives and the key attributes into an event relationship graph according to a preset association rule, and maintaining the event relationship graph to maintain the effectiveness of the event relationship graph; receiving a retrieval request for a composite abnormal event chain, and converting the retrieval request into a matching mode for the event relationship graph, and searching for nodes and associated edges corresponding to the matching mode in the event relationship graph to locate the event chain meeting the retrieval request. The present application improves the identification and response capability of city operation state changes.
Need to check novelty before this filing date? Find Prior Art